混沌とした中に明確さをもたらす、最上位のソーシャルメディアアナリティクスプラットフォーム

Let’s face it, social media marketing can feel like a mess—and a minefield. There are always fresh trends, content types and even whole new platforms bursting onto the scene. Exposure to huge audiences can be a blessing or a curse, with a potential PR crisis just a misguided click away.

That’s where social media marketing analytics come in.

Social media analytics refers to the process of collecting and analyzing data from social media platforms like Facebook, Instagram, Tik Tok, LinkedIn, X (formerly Twitter) and YouTube. Marketers and business owners can use social media analytics and reporting to cut through the noise and reveal insights about their brand and content performance.

The right data can tell you everything you need to know about your audience, the competition, the wider market, platform trends, and the success of your content and tactics. You can understand who you’re speaking to and how they behave, what performs and what doesn’t. Then optimize your strategy accordingly.

By using social media analytics effectively, you’ll be able to take control of the mess, and gain clarity and confidence in your social media marketing efforts and investments.

The importance of social media analytics is primarily down to the time, money and effort that goes into running a business account. When you’re investing precious resources into a marketing strategy, you want to make sure they’re well spent.

Marketers need to prioritize social media analytics and reporting to get a clear picture of what is and isn’t working for their business. This helps you make smart decisions, refine strategies and ultimately achieve stronger results.

Now, if data isn’t your strong point, you might be wondering how necessary social media analytics really are to your strategy. After all, most viral content depends on sheer creativity. Isn’t the recipe for success simply intuition mixed with a bit of luck?

Well, only to an extent. The reality is that social media platforms are built on algorithms, which are built on data. So to master the algorithm, you need to understand the data.

Getting a handle on social media data tracking will help you:

• Measure brand performance - evaluate successes and failures, track ROI.
• Understand audience behavior - who are they, what content do they engage with, when are they most active?
• Analyze content and trends - identify content that yields results and trends that could move the needle.
• Assess competitors - benchmark your performance against theirs and spot gaps or opportunities.
• Forecast trends - keep abreast of platform updates and trends, monitor relevant topics and conversations.

Simply put, you can see which social media platforms work best for your brand, which campaigns are most or least effective, and which content earns the highest visibility engagement.

These insights will empower you to make data-driven decisions for your strategy: on resource allocation, budget management, fine-tuning campaigns, and prioritizing cost-effective platforms and tactics.

Remember, social media holds huge potential:

• 43% of customers discover new products through social media
• 66% of customers purchase after seeing a social post

So don’t leave it on the table! Marketers who center analytics in their social media reporting are much more likely to invest wisely, keep stakeholders happy, hone skills and build expertise.

There are several different types of social media analytics, which can largely be grouped into: descriptive analytics, diagnostic analytics, predictive analytics, prescriptive analytics, real-time analytics, competitor analytics, sentiment analytics, influencer analytics, content analytics and audience analytics.

Within each category, there are key metrics (remember, analytics is interpreting data to spot patterns, gain insights and make strategic decisions; metrics are the raw data).

If this feels like a lot to digest, don’t worry—it’s really quite straightforward. Here’s a short social media analytics guide to walk you through the different categories:

What are descriptive analytics?

Descriptive analytics are defined by past data. By summarizing metrics such as followers, likes, shares, comments and impressions, you can create a performance analytics report for specific time-frames, so you can track both short-term and long-term growth.

Examples of descriptive analytics:

• Engagement metrics: likes, shares, retweets, comments
• Audience growth: the rate at which you’re gaining/losing followers
• Content performance: high-performing or low-performing posts

What are diagnostic analytics?

Diagnostic analytics dig into the root cause of certain events or results in your social media reporting. You can identify concrete reasons for success or failure, rather than feeling like you’re shooting in the dark.

Examples of diagnostic analytics:

• Engagement rate analysis: determining why certain posts get higher or lower engagement—formats, topics, time of posting?
• Sentiment analysis: identifying causes of particular reactions (positive, neutral, negative).
• Trend analysis: spotting patterns to work out why some content types or themes have taken off.

What are predictive analytics?

Predictive analytics draw from existing data and past performance to forecast future trends or outcomes. They can give you a greater sense of control over the often unpredictable social media landscape, so you can proactively prepare for risks or or capitalize on areas for growth.

Examples of predictive analytics:

• Engagement forecasting: anticipating how future posts might perform based on previous engagement.
• Audience growth projections: estimating future follower growth based on current rates.
• Trend predictions: identifying potential viral content or emerging trends to jump on.

What are prescriptive analytics?

Prescriptive analytics go one step further than predictive analytics by actively suggesting actions to take. These recommendations are based on existing data and designed to enhance your performance.

Examples of prescriptive analytics:

• Content strategy recommendations: content types or best times to post for optimal reach and engagement.
• Targeting adjustments: audience segments to focus on in your campaigns.
• Resource allocation: where to allocate marketing spend across different social media platforms for maximum ROI.

What are real-time analytics?

Real-time analytics track and analyze live data, so you can monitor campaigns or respond to events as they are happening. By keeping an ear to the ground, you can quickly make changes or tap into momentum.

Examples of real-time analytics:

• Live campaign monitoring: track the performance of a campaign or live event to make on-the-fly tweaks.
• Crisis management: watch out for brand mentions and track sentiment to address any PR issues immediately.
• Social listening: observe conversations about your brand, product or industry as they unfold.

What are competitor analytics?

Competitive social media analytics share data on competitors’ social accounts and activities—or simply brands you admire. This helps you benchmark performance, identify opportunities for growth based on rivals’ strengths or weaknesses, get ideas and inspiration for your content, spot industry trends, and anticipate next steps.

Examples of competitor analytics:

• Comparative engagement analysis: see where your engagement metrics rank against the competition.
• Content strategy comparison: analyze what competitors are posting and how it’s performing.
• Market positioning: use a competitor analysis report to understand how you are perceived in your category.

What are sentiment analytics?

Sentiment analytics monitor emotions and opinions in social media interactions to gauge how people feel about your brand. This helps you understand public perception and customer satisfaction, so you can amplify positive feedback, address any concerns, and protect your brand reputation.

Examples of sentiment analytics:

• Sentiment score: a net score of how positively, negatively or neutrally people feel about your brand.
• Sentiment tren analysisd: tracking changes in sentiment over time, especially after significant events or campaigns.
• Customer feedback analysis: assess the sentiment of reviews or comments to feed into your product development.

What are influencer analytics?

Influencer analysis pulls and interprets data from influencer profiles and campaigns. This gives you a steer on which influencers to approach for collaborations, and the impact of campaigns you work on.

Examples of influencer analytics:

• Influencer identification: finding relevant influencers with demonstrated traction for campaigns and collabs.
• Campaign impact: measure reach, engagements and conversions generated by influencer campaigns.
• Influencer ROI: calculate the return on investment for influencer partnerships.

What are content analytics?

Content analytics give you both granular and aggregate insights on your content performance: either individual posts or posts grouped by theme or format. This helps you put your best foot forward with your content creation efforts—focusing on content types that work, and pulling back on those that don’t.

Examples of content analytics:

• Content type performance: a post analytics report tells you which types of content (e.g. videos, image posts, links, polls, text posts, etc.) are most successful.
• Topic analysis: an engagement analytics report determines the most popular topics based on audience interaction.
• Content frequency: judge how often to post for optimal reach and engagement.

What are audience analytics?

An audience analytics report shows you the demographics, behaviors and preferences of your target audience. This helps you to develop content that resonates, listen to and meet your ideal customer’s needs, attract qualified leads and optimize messaging—for greater marketing efficiency and enhanced products or services.

Examples of audience analytics:

• Demographic breakdown: the age, gender, location and interests of your target audience.
• Engagement patterns: segmenting your audience to see how different personas interact with your content.
• Audience overlap: judging whether you share an audience with a competitor or influencer.

If you’re wondering how to review your social media analytics, you can track data from different platforms using various tools.

How to track social media analytics: step-by-step

1. Before you do anything, get clear on your objectives and KPIs. Consider:
   • How does social media serve your overall marketing strategy? (brand awareness, customer support, employee advocacy, direct sales, etc.))
   • What’s realistic and achievable?
   You can use competitor analytics and the SMART framework to benchmark performance and set targets.
2. Choose a professional social media analytics tool. Each social media platform has a native analytics app, or you can get more advanced analytics with a third party tool like Socialinsider.
3. Track and analyze data. Pay close attention to your KPIs and identify patterns or trends.
4. Report your findings. Create a social media analytics report to communicate key insights and share with stakeholders.
5. Adjust and optimize your strategy . Make data-driven decisions to improve your performance.

How to track social media analytics with Socialinsider

Socialinsider is an integrated analytics tool that covers Tik Tok, Instagram, LinkedIn, Facebook, X and YouTube in one easy-to-use dashboard —making life that bit easier for busy marketers. You can compare cross-channel performance, get competitor analysis, access listening insights, see benchmarks and more, on top of in-depth platform analytics.

There are so many types of social media marketing metrics you could track—but which ones do you need to? We surveyed professional marketers in some of the most active industries on socials in our State of Social Media Report 2024. Here are the top metrics to track:

• Engagement metrics - 78.51%
  How your audience interacts with your content through likes, comments, shares, saves, etc.
• Reach and impressions - 68.6%
  Visibility metrics that indicate brand exposure.
  Reach: the total number of unique users who see your content.
  Impressions: the total number of times your content is displayed to users, even if they don’t interact with it.
• Follower growth and demographics - 64.46%
  Insights on your audience and how it’s growing.
  Follower growth: the rate at which you are gaining (or losing) followers.
  Demographics: audience characteristics, such as age, gender, location, interests, industry, etc.
• Social media traffic to website - 52.07%
  How much traffic your social media channels are driving to your website, measured by visitors (typically tracked by referral links in Google Analytics).
• Click-through rates - 43.8%
  The percentage of people who clicked a link in your social media post or ad, out of the total impressions.
• Conversion rates and leads generated - 34.71%
  Metrics that help you calculate the ROI of your social media marketing.
  Conversion rate: the percentage of users who completed a desired action (e.g. making a purchase) after interacting with your social media content.
  Leads generated: the number of potential customers generated through social media activity, who have shown interest in your product or service (e.g. by submitting their details in a contact form).

どのメトリクスを追跡するかが分かったら、今度はそれらをどう活用するかが重要です。

目標とKPIを決め、ダッシュボードを設定しデータのトラッキングを始めたら、次はそのインサイトを活用してソーシャルメディアアナリティクスを戦略へどう活かすかを考えましょう。

ポイントは、定期的にソーシャルメディア分析とレポートを実施することです。最低でも月次、理想は週次レポートを目指すことで、ソーシャルメディアアナリティクスの可能性を最大限に引き出せます。また、四半期や年次でのより大きな振り返りも忘れずに行ってください。

ここでは、マーケティングを強化するためのソーシャルメディアアナリティクスのベストプラクティスを紹介します。

ソーシャルメディア分析の方法

• パターンの特定 - 数字を単独で見るのではなく、異なるメトリクス、期間、イベント間のつながりを探りましょう。KPIが順調か現実的か、目標の調整が必要か確認できます。
• オーディエンスの行動を監視 - デモグラフィック、ピーク時、コンテンツの好みを分析し、フォロワーの傾向に合わせてコンテンツを調整します。
• コンテンツパフォーマンスの測定 - リーチやエンゲージメントの傾向を調査し、形式や戦術を変えて実験、高パフォーマンスのハッシュタグをテストしてコンテンツの影響力を高めます。
• ソーシャルリスニングとトレンドウォッチ - 会話やトレンドを観察することで、コンテンツや商品開発に活かせます。フィードバックの整理やコンテンツ種類（例：動画）のテスト、インフルエンサーの選定にも役立ちます。
• ブランドレピュテーションの監視 - センチメント分析や迅速なフィードバック対応でブランド評価を守り、向上させます。
• 競合分析 - KPIを競合や参考ブランドとベンチマークし、他アカウントのコンテンツや活動も分析します。
• 有料広告とキャンペーン最適化 - キャンペーンのパフォーマンスを追跡し、ターゲティングの精査や広告費の調整を実施します。有料ソーシャルメディアアナリティクスで効果を最大化しましょう。
• Google Analytics でトラフィックやコンバージョンを確認 - ソーシャルメディアリファラルの記録や、サイト到達者の動き、ページコンテンツのインタラクションを把握し、CROを評価します。広いマーケティング戦略におけるソーシャルメディアの役割を理解しましょう。

Successful social media marketing requires a combination of vastly different skills—from high levels of creativity to deep levels of data analysis. Finding it tricky to work out what your social media analytics mean in real terms? The main thing to focus on is telling a story, rather than regurgitating numbers on the dashboard.

Here are some tips on how to understand social media analytics, so you can turn that raw data into meaningful insights to share with your team.

How to read social media analytics: key metrics

• Reach: high reach means you have strong visibility on the platform and more people are discovering your brand. If your reach is growing, your audience is growing. If your reach is low, you may need to optimize your content strategy for the algorithm (e.g. testing different content types or posting times).
• Impressions: similar to reach, impressions show the exposure of your content. However, while reach counts unique users who have seen your content, impressions count the total number of times your content was displayed—so it accounts for the same user seeing your post multiple times (e.g. if it was shared a lot).
• Engagement: shows how relevant and resonant your content is with your audience. High engagement means your brand is appealing and attractive, low engagement means you may be missing the mark.
• Engagement rate: shows the correlation between visibility and engagement, i.e. the percentage of people who interacted with your content, out of the people who saw it. A low engagement rate means people are seeing your content (perhaps because it’s an algorithm-friendly format), but it’s not landing with them (perhaps because of the topic or style).
• Followers: the rate at which you’re gaining (or losing) followers. Consistent follower growth means your content keeps people coming back for more—they are interested in building a relationship with your brand. Stagnant or decreasing followers means you’re not giving people that reason to follow (or you're actively putting them off).
• Traffic and conversions: monitoring the actions people take (e.g. website visits, form submissions, emails, downloads) after interacting with your brand and content on social media shows you the success of your overall strategy. A high CTR or conversion rate means people find your content compelling and convincing. Low rates mean you may need to emphasize or optimize your CTAs and landing pages, or adjust your content strategy.
• Sentiment: tells you how people feel about your content and brand. If it’s positive, you could capitalize on that feedback by sharing it or turning it into a campaign. If it’s negative or neutral, you’d want to address any issues causing dissatisfaction e.g. product issues or even macro-level, cultural changes.

How to assess performance over time

Success on social media is never built in a day—it takes consistency and determination. That’s why assessing your performance over time, whether it’s months or years, is so important.

• Keep an eye on patterns and trends, like spikes in engagement, dips in reach or stagnant period of follower growth.
• Consider how specific days, times of day or seasonal shifts might influence your performance.
• Compare with previous periods and cross-reference with changes to your strategy or updates to the algorithm.

How to identify high-performing content

It’s fairly straightforward to spot high-performing content from metrics like reach, impressions, clicks, views and engagements. With a sophisticated social media analytics tool like Socialinsider, you can also drill down into content formats and types to understand what lies beneath these metrics. Determining the factors that contribute to high performance means you can replicate them.

How to evaluate audience analytics

Evaluate your audience demographics to see who your current and potential audience is.

• Does your social media audience match your ideal audience?
• Are there any correlations between specific tactics (e.g. posting more Tik Tok-style content) and changes to audience demographics?
• Are there opportunities to tap into a brand new audience, for example by working with an influencer or producing localized content?

How to understand competitor analysis

Look closely at competitors’ posting strategies, content types and other activity. Study their strategies and tactics to see if you can borrow any of them—or do something completely different. For example, if a competitor posts more videos and consistently gets higher reach and engagement, maybe that’s your sign to invest in video too.

How to judge campaign performance

Alongside organic social media analytics, you can measure the impact of paid campaigns through engagement, reach, traffic and conversions. If those are high, try to identify what contributed to success so you can replicate it. If it underperformed, you might need to adjust messaging, targeting or content.

In summary, if you interpret data accurately and effectively, you can:

• Repeat formulas that work
• Improve weaknesses
• Feel confident taking risks to try something new
• Adjust current strategies

ソーシャルメディアマーケティングは非常にリソース集約型です。その労力と投資が管理層や関係者、そして自分自身にとって価値があることを証明する必要があります。つまり、確かなリターン（高品質なリード、コンバージョン、売上など）に結びつくことが大切です。

ここで役立つのがソーシャルメディアレポートです。分かりやすく、エンゲージメントの高い行動指向のレポートでソーシャルメディアアナリティクスを提示すれば、ROIを証明し、チームや会社全体の賛同を得やすくなります。

ソーシャルメディアレポートを共有する主な3つの方法

State of Social Media 2024レポートによると：

1. ダッシュボード（例：Tableau等のインタラクティブなビジュアライゼーション） - 29.41%
2. 対面プレゼンテーション・ミーティング - 26.05%
3. 正式な静的レポート（PDF）や定例ミーティング - 21.01%

ソーシャルメディアレポーティングのベストプラクティス

1. ターゲットに合わせた正しいメトリクスとインサイトにフォーカス
   誰に報告するかによって、強調すべき内容は変わります。コピーや動画制作の効果を知りたいコンテンツ制作者には、より細かいコンテンツアナリティクスが重要です。経営層には、高い視点のメトリクスと確かなROIが求められます。
2. 全体をつなげてストーリーを語る
   生のデータや単独のメトリクスだけを提示しないでください。関連付けて、各アクションが全体にどう貢献しているかを見せましょう。時間軸でパターンやトレンドを示し、重要な要因までたどれるように説明します。
3. ビジュアルを活用
   チャート、グラフ、スクリーンショットを使うとデータが一段と分かりやすくなります。進捗やメトリクスの積み上げが直感的に伝わります。

ソーシャルメディアアナリティクスレポート テンプレート

ソーシャルメディアアナリティクスレポートの構成に悩んだら、以下のテンプレートをご活用ください。

1. 冒頭は短いイントロやエグゼクティブサマリー：レポートの主旨、発見、要点を簡潔にまとめます。
2. 目標とKPIを再確認：ソーシャルメディア戦略が目指す方向性を全員が理解できるようにします。
3. 主要メトリクスの概要を共有：フォロワー数や増加、全体のインプレッションやリーチ、合計エンゲージメントや平均エンゲージメント率などを明確に示します。
4. 最も成果を上げた投稿を紹介：スクリーンショットとKPIを併記します。（逆に成果が低かった投稿も同様に掲載できます）
5. オーディエンスインサイトと行動を提示：デモグラフィックの内訳、ピーク活動時間帯、コンテンツの好み、前回からの変化などを詳しく説明します。
6. 競合分析を実施：フォロワー、インプレッション、エンゲージメントなど各メトリクスで自社の立ち位置を把握します。
7. アクションポイントと次のステップ：この部分を忘れずに！インサイトを必ず実行可能なアイデアに落とし込みましょう。

ROIの計算方法

多くのソーシャルメディアアナリティクスツールは、他のファネルデータ（例：自社ウェブサイト訪問者）にアクセスできないため、ソーシャルメディア施策のROIまでは計算できません。

しかし、ソーシャルメディアROIを自分で計算するのは比較的簡単です。

ROI = （ソーシャルメディアからの収益）／（ソーシャルメディアのコスト）×100

ROIは以下のようなKPIやメトリクスで可視化できます：

• 売上／収益
• リード／コンテンツ送信数
• トラフィック／訪問者数
• ブランド認知度／可視性メトリクス
• センチメント／会話、インタラクション

Advanced analytics for social media use more sophisticated data analysis and artificial intelligence to provide businesses and marketers with deeper insights on their brand performance. This goes beyond simple metrics such as likes, reach, comments and shares to extract more meaningful patterns and trends, which can guide data-driven decision-making.

Integrated analytics tools like Socialinsider can help you:

1. Compare performance across channels.
   Multi-platform analytics consolidate data from several social media platforms (for example, Facebook, Instagram and LinkedIn) to give you perspective on how your social media marketing is performing across the board. These cross-channel insights will show you which social media platforms are most effective, so you can allocate resources and adjust strategies.


2. Get competitor analysis and benchmarks.
   Advanced analytics can track activity, follower growth, engagement rates and content performance from other accounts, not just yours. This gives you KPI benchmarks and competitive intelligence to inform your strategy—for example, by replicating successful tactics used by other brands, or by seizing an opportunity your rivals haven’t spotted yet.


3. Run sentiment analysis.
   Powerful analytics software can use natural language processing to gauge sentiment analysis. By analyzing the emotional tone of comments, mentions and conversations about your business, you can assess how your audience feels towards your brand (positive, negative or neutral). This helps you manage your brand reputation, keep potential PR crises under control, and leverage customer feedback for product development, content and campaigns.


4. Carry out social listening and trend analysis.
   Real-time social listening is a crucial part of predictive analysis: by monitoring emerging trends, popular hashtags or growing conversations, you can stay in tune with your audience and one step ahead of the competition. This could inform anything from putting your brand’s stamp on a viral Tik Tok trend, to quickly responding to demand for a brand new product.


5. Optimize posts and campaigns with detailed content analysis.
   Smart social media analytics will give you both a granular and macro-level view of your content performance, so you can optimize your posting and campaigns strategies. You can look at variables like post format, time of day, visuals and messaging, or zoom out to see which content pillars or topics are performing best.



This is just the tip of the iceberg in what advanced analytics can do, so investing in the right software is essential for effective, data-driven and ROI-generating social media marketing.